huixiaaaa

huixiaaaa's Stars

• facebookresearch/moco

  PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

  Language:Python4.9k800

• xkmaxidian/MNMST

  Multi-Layer Network Model leverages identification of spatial domains from spatial transcriptomics data

  Language:Jupyter Notebook91

• jason718/awesome-self-supervised-learning

  A curated list of awesome self-supervised methods

  6.2k836

• SXKDZ/awesome-self-supervised-learning-for-graphs

  A curated list for awesome self-supervised learning for graphs.

  37945

• HobbitLong/CMC

  [arXiv 2019] "Contrastive Multiview Coding", also contains implementations for MoCo and InstDis

  Language:Python1.3k180

• PyGCL/PyGCL

  PyGCL: A PyTorch Library for Graph Contrastive Learning

  Language:Python91996

• StickTaTa/ResST_main

  A deep learning framework for spatial transcriptomics

  Language:Python5

• donghaifang/stCMGAE

  Language:Jupyter Notebook9

• wenwenmin/STMGAC

  Masked Graph Autoencoders with Contrastive Augmentation for Spatially Resolved Transcriptomics Data

  Language:Jupyter Notebook172

• kaize0409/S-3-CL

  PyTorch Implementation for "Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning" (AAAI2023)

  Language:Python231

• narutoten520/SCGDL

  Spatial Clustering for Spatial Omics Data via Geometric Deep Learning

  Language:Jupyter Notebook82

• narutoten520/GRAPHDeep

  A comprehensive study of graph deep learning enabled spatial domains discrimination technologies for spatial transcriptomics

  Language:Jupyter Notebook420

• dw666666/MVST

  Language:Python2

• Shen-Lab/GraphCL

  [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen

  Language:Python572105

• ZhihaoSi/SpaNCMG

  Language:Jupyter Notebook6

• sxj204/stmgcn

  Language:Python9

• ChandlerBang/awesome-self-supervised-gnn

  Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

  Language:Python1.6k162

• hannshu/st_clustering

  总结和比较目前发表的处理单细胞空间转录组学(Spatial Transcriptomic)的聚类方法。Conclusion and comparison of the current clustering method for ST data.

  Language:Jupyter Notebook11

• CRIPAC-DIG/GRACE

  [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)

  Language:Python31953

• CRIPAC-DIG/GCA

  [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"

  Language:Python16824

• Lab-Xu/GRAS4T

  GRAS4T: A spatial domain identification tool

  Language:Jupyter Notebook61

• STOmics/SGAE

  Language:Jupyter Notebook31

• nayu0419/stMMR

  stMMR

  Language:Jupyter Notebook62

• sunxue-yy/SpaGRA

  Language:Python62

• hannshu/stCluster

  Accurate spatial domain deciphering for spatially resolved transcriptomics with stCluster

  Language:Python63

• hannshu/st_datasets

  This repository will continuously collect annotated spatial transcriptomic datasets. 本仓库将持续收集空间转录组数据集

  Language:Python9

• TianxingChen/Embodied-AI-Guide

  具身智能入门指南 Embodied-AI-Guide

  2k103

• tju-zl/MuCoST

  Language:Jupyter Notebook81

• RUCAIBox/NCL

  [WWW'22] Official PyTorch implementation for "Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning".

  Language:Python11920

• PetarV-/DGI

  Deep Graph Infomax (https://arxiv.org/abs/1809.10341)

  Language:Python634136